36 research outputs found
A resource-based view and dynamic capabilities approach in the context of a region’s international attractiveness: The recent case of Western Australia
This exploratory study proposes a framework based on the resource view theory and the dynamic capabilities approach to further the understanding of a region’s attractiveness, particularly from an international perspective. The case of Western Australia is examined through in-depth, face-to-face interviews with nine country consuls experienced in international trade. The findings revealed significant ways in which Western Australia could enhance its future commercial appeal. The findings revealed the value of synergies between this state and other countries, particularly exchanging expertise, transferring knowledge, or exporting know-how, education, both university and industry-focused, research and development and expertise. These forms of regional attractiveness emphasise the strategic role of industry resources and dynamic capabilities, thus, underscoring the usefulness and applicability of the proposed framework. While the state’s mineral exports will continue to drive its economy, harnessing its potential in other areas is crucial to adapt to changing business environments and to build sustained competitive advantage. © 2018, The Author(s) 2018
DNA glycosylases: in DNA repair and beyond
The base excision repair machinery protects DNA in cells from the damaging effects of oxidation, alkylation, and deamination; it is specialized to fix single-base damage in the form of small chemical modifications. Base modifications can be mutagenic and/or cytotoxic, depending on how they interfere with the template function of the DNA during replication and transcription. DNA glycosylases play a key role in the elimination of such DNA lesions; they recognize and excise damaged bases, thereby initiating a repair process that restores the regular DNA structure with high accuracy. All glycosylases share a common mode of action for damage recognition; they flip bases out of the DNA helix into a selective active site pocket, the architecture of which permits a sensitive detection of even minor base irregularities. Within the past few years, it has become clear that nature has exploited this ability to read the chemical structure of DNA bases for purposes other than canonical DNA repair. DNA glycosylases have been brought into context with molecular processes relating to innate and adaptive immunity as well as to the control of DNA methylation and epigenetic stability. Here, we summarize the key structural and mechanistic features of DNA glycosylases with a special focus on the mammalian enzymes, and then review the evidence for the newly emerging biological functions beyond the protection of genome integrity
Forward Coupled Modeling and Assessment of Gravity Anomalies Caused by Pumping Tests in Unconfined Aquifers Under Unsteady-State Conditions
Clinical evaluation of amylase-creatinine clearance ratio and amylase isoenzyme clearance in chronic renal failure
Simultaneous Solving of Three-Dimensional Gravity Anomalies Caused by Pumping Tests in Unconfined Aquifers
Massively parallel digital high resolution melt for rapid and absolutely quantitative sequence profiling
In clinical diagnostics and pathogen detection, profiling of complex samples for low-level genotypes represents a significant challenge. Advances in speed, sensitivity, and extent of multiplexing of molecular pathogen detection assays are needed to improve patient care. We report the development of an integrated platform enabling the identification of bacterial pathogen DNA sequences in complex samples in less than four hours. The system incorporates a microfluidic chip and instrumentation to accomplish universal PCR amplification, High Resolution Melting (HRM), and machine learning within 20,000 picoliter scale reactions, simultaneously. Clinically relevant concentrations of bacterial DNA molecules are separated by digitization across 20,000 reactions and amplified with universal primers targeting the bacterial 16S gene. Amplification is followed by HRM sequence fingerprinting in all reactions, simultaneously. The resulting bacteria-specific melt curves are identified by Support Vector Machine learning, and individual pathogen loads are quantified. The platform reduces reaction volumes by 99.995% and achieves a greater than 200-fold increase in dynamic range of detection compared to traditional PCR HRM approaches. Type I and II error rates are reduced by 99% and 100% respectively, compared to intercalating dye-based digital PCR (dPCR) methods. This technology could impact a number of quantitative profiling applications, especially infectious disease diagnostics